diff --git a/docs/doctrees/environment.pickle b/docs/doctrees/environment.pickle index 7a74c93..c40f139 100644 Binary files a/docs/doctrees/environment.pickle and b/docs/doctrees/environment.pickle differ diff --git a/docs/doctrees/methods/02_support_tools/README.doctree b/docs/doctrees/methods/02_support_tools/README.doctree index 3686b07..b7a8381 100644 Binary files a/docs/doctrees/methods/02_support_tools/README.doctree and b/docs/doctrees/methods/02_support_tools/README.doctree differ diff --git a/docs/html/_sources/methods/02_support_tools/README.rst.txt b/docs/html/_sources/methods/02_support_tools/README.rst.txt index 5e0f17e..d307027 100644 --- a/docs/html/_sources/methods/02_support_tools/README.rst.txt +++ b/docs/html/_sources/methods/02_support_tools/README.rst.txt @@ -27,14 +27,21 @@ Data The following data sources were used within this project task. -**Land use** +Land use +~~~~~~~~~~~~~~~~~~~~~~~~ In i-Tree Eco Land Use (LU) is defined as the land use type in which a tree is located. In i-Tree Eco, there are 13 default land use classes defined (see `Table 1 `_). -The land resource map FKB-AR5 (Ahlstrøm et al. 2019, Kartverket, 2023b) and the land use map from SSB (2022) are combined, and the different land use classes are translated to the Land Use classes defined in i-Tree Eco `Table 2 `_ and `Table 3 `_. +The land resource map FKB-AR5 (Ahlstrøm et al. 2019, Kartverket, 2023b) and the land use map from SSB (2022) are combined, and the different land use classes are translated to the Land Use classes defined in i-Tree Eco using the lookup tables: `Table 2 `_ and `Table 3 `_. -Municipal Tree Inventory +Municipal Tree Database ~~~~~~~~~~~~~~~~~~~~~~~~ + +The municipalities within the Trekroner-project each provided a tree inventory database. +The tree inventory databases contain information about the trees in the municipality, +such as tree species, tree height, tree diameter, and tree location. +The tree inventory databases were cleaned and standardized to ensure that the data could be used in the i-Tree Eco analysis. + .. toctree:: :maxdepth: 1 :caption: Specific manual cleaning tasks for each municipality are described in the following documents: @@ -46,6 +53,7 @@ Municipal Tree Inventory + Methods ------- @@ -119,13 +127,25 @@ The workflow consists of three main steps: - Make a backup of the input data before running the scripts. - Note that calculating the crown condition attributes is extremely slow (e.g., it can take more than 12 hours to run). +Output +------- + +The output is a cleaned municipal tree dataset that contains the mandatory input attributes for the i-Tree Eco model. + +.. xlsx-table:: **Table 1:** Field design of the cleaned municipal tree inventory dataset. + :file: tbl/field_design_registrerte_traer.xlsx + :header-rows: 1 + :sheet: field_design + **References** +- Ahlstrøm, A., Bjørkelo, K., Fadnes, K.D. 2019. AR5 Klassifikasjonssystem. Klassifisering av arealressurser. NIBIO BOK 5 (5) 2019. http://hdl.handle.net/11250/2596511 - Cimburova, Z., & Barton, D. N. (2020). The potential of geospatial analysis and Bayesian networks to enable i-Tree Eco assessment of existing tree inventories. Urban Forestry & Urban Greening, 55, 126801. https://doi.org/10.1016/j.ufug.2020.126801 +- Kartverket 2023a. FKB-Bygninger. Geografisk vektordatasett. https://kartkatalog.Geonorge.no/metadata/fkb-bygning/8b4304ea-4fb0-479c-a24d-fa225e2c6e97 +- Kartverket 2023b FKB-AR5. Geografisk vektordatasett. https://kartkatalog.geonorge.no/metadata/fkb-ar5/166382b4-82d6-4ea9-a68e-6fd0c87bf788 +- Statistisk sentralbyrå (SSB) 2022: Arealbruk 2022. Geografisk vektordatasett. https://kartkatalog.Geonorge.no/metadata/arealbruk-2022/a965a979-c12a-4b26-90a0-f09de47dbecd **Contributors** - Willeke A'Campo (NINA), willeke.acampo@nina.no - - diff --git a/docs/html/methods/02_support_tools/README.html b/docs/html/methods/02_support_tools/README.html index 9d283c7..38b2556 100644 --- a/docs/html/methods/02_support_tools/README.html +++ b/docs/html/methods/02_support_tools/README.html @@ -192,11 +192,15 @@
  • Data
  • Methods +
    • +
  • Output
    • @@ -232,11 +236,17 @@

    Installation

    Data

    The following data sources were used within this project task.

    -

    Land use

    +
    +

    Land use

    In i-Tree Eco Land Use (LU) is defined as the land use type in which a tree is located. In i-Tree Eco, there are 13 default land use classes defined (see Table 1). -The land resource map FKB-AR5 (Ahlstrøm et al. 2019, Kartverket, 2023b) and the land use map from SSB (2022) are combined, and the different land use classes are translated to the Land Use classes defined in i-Tree Eco Table 2 and Table 3.

    -
    -

    Municipal Tree Inventory

    +The land resource map FKB-AR5 (Ahlstrøm et al. 2019, Kartverket, 2023b) and the land use map from SSB (2022) are combined, and the different land use classes are translated to the Land Use classes defined in i-Tree Eco using the lookup tables: Table 2 and Table 3.

    +
    +
    +

    Municipal Tree Database

    +

    The municipalities within the Trekroner-project each provided a tree inventory database. +The tree inventory databases contain information about the trees in the municipality, +such as tree species, tree height, tree diameter, and tree location. +The tree inventory databases were cleaned and standardized to ensure that the data could be used in the i-Tree Eco analysis.

    Specific manual cleaning tasks for each municipality are described in the following documents:

      @@ -325,9 +335,700 @@

      Methods +

      Output

      +

      The output is a cleaned municipal tree dataset that contains the mandatory input attributes for the i-Tree Eco model.

      + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + +
      Table 1: Field design of the cleaned municipal tree inventory dataset.

      Atrribute category

      Nr.

      Name (EN)

      Alias (NO)

      data_type

      unit

      domain

      notes

      Tree identification

      1

      GlobalID

      GlobalID

      GUID

        +
      • +
      +

      2

      FKID_stem

      FKID_stem

      GUID

        +
      • +
      +

      3

      itree_spec

      i-Tree Eco (1/0)

      SHORT

      4

      tree_id

      Tre ID

      TEXT

        +
      • +
      +

      i-Tree Eco input variable

      5

      crown_id

      Krone ID

      TEXT

        +
      • +
      +

      Species

      6

      scientific_name

      Vitenskapelige navn

      TEXT

        +
      • +
      +

      7

      taxon_genus

      Genus

      TEXT

        +
      • +
      +

      8

      common_name

      Engelsk navn

      TEXT

        +
      • +
      +

      i-Tree Eco input variable

      9

      norwegian_name

      Treslag

      TEXT

        +
      • +
      +

      10

      species_comment

      Treslag kommentar

      TEXT

        +
      • +
      +

      11

      species_origin

      Treslag kilde

      TEXT

        +
      • +
      +

      feltregistering

      Diameter at Breast +Height (DBH)

      12

      stem_circumference

      Stammeomkrets (cm)

      FLOAT

      cm

      13

      dbh

      Stammediameter (cm)

      FLOAT

      cm

      i-Tree Eco input variable

      14

      dbh_height

      DBH målingshøyde

      FLOAT

      cm

      i-Tree Eco input variable

      15

      dbh_comment

      DBH kommentar

      TEXT

      16

      dbh_origin

      DBH kilde

      TEXT

      feltregistering, regresjonsmodell

      Tree Height

      17

      tree_height_laser

      Høyde (laser)

      FLOAT

      m

      18

      height_in_situ

      Høyde (in situ)

      FLOAT

      m

      19

      height_total_tree

      Høyde (m)

      FLOAT

      m

      i-Tree Eco input variable

      20

      height_live_tree

      Høyde levende tre (m)

      FLOAT

      m

      i-Tree Eco input variable

      21

      height_crown_base

      Høyde til krone (m)

      FLOAT

      m

      i-Tree Eco input variable

      22

      height_comment

      Høyde kommentar

      TEXT

      23

      height_origin

      Høyde kilde

      TEXT

      laserdata, feltregistering, regresjonsmodell

      Crown Geometry

      24

      crown_diam_insitu

      Kronediameter (in situ)

      FLOAT

      m

      25

      crown_diam

      Kronediameter (m)

      FLOAT

      m

      26

      crown_radius

      Krone radius (m)

      FLOAT

      m

      27

      crown_vol

      Krone volum (m3)

      FLOAT

      m3

      28

      crown_area

      Kroneareal (m2)

      FLOAT

      m2

      29

      crown_peri

      Krone omkrets (m)

      FLOAT

      m

      30

      EV_angle

      EV vinkel (°)

      FLOAT

      geographic degrees

      31

      NS_width

      Krone bredde NS (m)

      FLOAT

      m

      i-Tree Eco input variable

      32

      EW_width

      Krone bredde ØV (m)

      FLOAT

      m

      i-Tree Eco input variable

      33

      crown_origin

      Krone kilde

      TEXT

      laserdata year, feltregistering year, regresjonsmodell

      34

      crown_comment

      Krone kommentar

      TEXT

      35

      geo_relation

      Geometrisk relasjon

      TEXT

      “Case 1”;”Case 2”;”Case 3”;”Case 4”;

      Crown Condition

      36

      crown_dieback

      Krone skade

      TEXT

      %

      i-Tree Eco input variable

      37

      percent_crown_missing

      Krone skade prosent

      TEXT

      %

      “15% - 20%”

      i-Tree Eco input variable

      38

      cle_class

      Krone lys klasse

      SHORT

      1,2,3,4,5

      i-Tree Eco input variable

      39

      cle_perc

      Krone lys prosent

      FLOAT

      %

      i-Tree Eco input variable

      Building Interaction (energy Impact)

      40

      bld_dir_1

      Bygg retning 1

      FLOAT

      degrees

      i-Tree Eco input variable

      41

      bld_dir_2

      Bygg retning 2

      FLOAT

      degrees

      i-Tree Eco input variable

      42

      bld_dir_3

      Bygg retning 3

      FLOAT

      degrees

      i-Tree Eco input variable

      43

      bld_dist_1

      Bygg avstand 1 (m)

      FLOAT

      m

      i-Tree Eco input variable

      44

      bld_dist_2

      Bygg avstand 2 (m)

      FLOAT

      m

      i-Tree Eco input variable

      45

      bld_dist_3

      Bygg avstand 3 (m)

      FLOAT

      m

      i-Tree Eco input variable

      Location +Information

      46

      nb_code

      Bydelnummer

      SHORT

      47

      nb_name

      Bydelnavn

      TEXT

      48

      polutizon_zone

      Luftsone

      SHORT

      1 (grønn), 2 (gull), 3 (rød)

      49

      address

      Vegadresse

      TEXT

      i-Tree Eco input variable

      50

      street_tree

      Veg tre

      TEXT

      “Y”, “N”

      i-Tree Eco input variable

      51

      private_public

      Privat/offentlig område

      TEXT

      “privat omr”, “offentlig omr”

      52

      SSB_hoved_underklasse

      SSB Arealbruk

      TEXT

      53

      AR5_arealtype

      AR5 Arealbruk kode

      TEXT

      54

      AR5_arealtype_navn

      AR5 Arealbruk

      TEXT

      55

      itree_LU

      i-Tree Arealbruk

      TEXT

      56

      itree_LU_kode

      i-Tree Arealbruk kode

      TEXT

      i-Tree Eco input variable

      57

      itree_ground_cover

      i-Tree Markdekke

      TEXT

      i-Tree Eco input variable

      Administration

      58

      registration_date

      Kartleggingsdato

      DATE

      yyyy.mm.dd

      59

      registrant

      Kartlegger

      TEXT

      60

      creation_date

      Opprettelsesdato

      DATE

      yyyy.mm.dd

      61

      creator

      Oppretter

      TEXT

      “willeke.acampo@nina.no_NINA”

      62

      comment

      Kommentar

      TEXT

      datetime.datetime.now()

      Map Coordinates

      63

      wgs84_lat

      Latitude

      DOUBLE

      decimal degrees

      y-axis

      i-Tree Eco input variable

      64

      wgs84_lon

      Longitude

      DOUBLE

      decimal degrees

      x-axis

      i-Tree Eco input variable

      65

      tree_altit

      Tre høyde over havet (m)

      FLOAT

      m

      Regulating Ecosystem Services (i-Tree Eco)

      66

      replacement_value_kr

      Erstatningsverdi (Nkr)

      FLOAT

      Nkr

      i-Tree Eco output variable

      67

      co2_storage_kg

      Karbonlagring (kg)

      FLOAT

      kg

      i-Tree Eco output variable

      68

      co2_storage_nkr

      Karbonlagring (NKr)

      FLOAT

      Nkr

      i-Tree Eco output variable

      69

      co2_seq_kg_yr

      Årlig karbonbinding (kg/år)

      FLOAT

      kg/år

      i-Tree Eco output variable

      70

      co2_seq_nkr_yr

      Årlig karbonbinding (Nkr/år)

      FLOAT

      Nkr/år

      i-Tree Eco output variable

      71

      runoff_m3_yr

      Reduksjon av overflateavrenning (m3/år)

      FLOAT

      m3/år

      i-Tree Eco output variable

      72

      runoff_nkr_yr

      Reduksjon av overflateavrenning (NKr/år)

      FLOAT

      Nkr/år

      i-Tree Eco output variable

      73

      co2_avoided_kg_yr

      CO2-utslipp unngått (kg/år)

      FLOAT

      kg/år

      i-Tree Eco output variable

      74

      co2_avoided_nkr_yr

      CO2-utslipp unngått (Nkr/år)

      FLOAT

      Nkr/år

      i-Tree Eco output variable

      75

      pollution_g_yr

      Reduksjon av luftforurensing (g/år)

      FLOAT

      g/år

      i-Tree Eco output variable

      76

      pollution_nkr_yr

      Reduksjon av luftforurensing (NKr/år)

      FLOAT

      Nkr/år

      i-Tree Eco output variable

      77

      energy_nkr_yr

      Energibesparelse (Nkr/år)

      FLOAT

      Nkr/år

      i-Tree Eco output variable

      78

      totben_cap_2023

      Totalverdi ØT (Nkr/år)

      FLOAT

      Nkr/år

      i-Tree Eco output variable

      References

      Contributors

        diff --git a/docs/html/objects.inv b/docs/html/objects.inv index 866a2fd..5090617 100644 Binary files a/docs/html/objects.inv and b/docs/html/objects.inv differ diff --git a/docs/html/searchindex.js b/docs/html/searchindex.js index 2d0ba77..6364c61 100644 --- a/docs/html/searchindex.js +++ b/docs/html/searchindex.js @@ -1 +1 @@ -Search.setIndex({"docnames": ["ES_icons/ES_icons", "app_instructions/agol", "app_instructions/qfield", "data/index", "index", "methods/01_tree_detection/README", "methods/01_tree_detection/installation_manual", "methods/01_tree_detection/project_structure", "methods/02_support_tools/README", "methods/02_support_tools/baerum_tree_inventory_data", "methods/02_support_tools/bodo_tree_inventory_data", "methods/02_support_tools/installation_manual", "methods/02_support_tools/kristiansand_tree_inventory_data", "methods/02_support_tools/oslo_tree_inventory_data", "methods/02_support_tools/project_structure", "methods/02_support_tools/tables", 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"methods/notebooks/01_FROST_extract_climate_data.ipynb", "methods/notebooks/04a_tree_visibility_statistics_per_district.ipynb", "methods/notebooks/04c_map_3-30-300_rule.ipynb", "methods/notebooks/index.rst", "methods/tables.rst", "summary_stat/baerum_summary_stat.md", "summary_stat/bodo_summary_stat.md", "summary_stat/index.rst", "summary_stat/kristiansand_summary_stat.md", "summary_stat/oslo_summary_stat.md"], "titles": ["Ikoner for urbane \u00f8kosystemtjenester (NO)", "Instruks | Bytre-atlas (NO)", "QField Tree Registration App (NO)", "Data (EN)", "Trekroner Dokumentasjon", "Task 1 | Urban Tree Detection", "Installation Manual | urban-tree-detection", "Project Structure | urban-tree-detection", "Task 2 | Integration of Municipal Tree points and Laser-detected Tree Crown polygons", "B\u00e6rum | tree inventory data", "Bod\u00f8 | tree inventory data", "Installation Manual | itree-support-tools", "Kristiansand | tree inventory data", "Oslo | tree inventory data", "Project Structure | itree-support-tools", "Look Up Tables - i-Tree Eco Land Use", "Task 3 | i-Tree Eco Modelling", "Task 3b | Extrapolation of i-Tree Eco values", "Task 3a | i-Tree Eco model", "Task 4 | Local Climate Regulation", "Task 5 | Mapping of trees visibility and accessibiltiy", "Installation Manual | GRASS GIS Addons r.viewshed.exposure and r.viewshed.impact", "Parameters - Viewshed exposure and impact", "Look Up Tables - Green spaces and private and public open spaces", "Metoder (EN)", "Installation Manuals", "Sphinx Developer Information", "Extract historical climate data from the Norwegian Meteorological Institute (MET)", "Caclulate tree visibility statistics per district", "Map tree visibility statistics per district", "Notebooks", "Tables", "Sammendragsstatistikk | Registrerte tr\u00e6r i B\u00e6rum", "Sammendragsstatistikk | Registrerte tr\u00e6r i Bod\u00f8", "Sammendragsstatistikk (NO)", "Sammendragsstatistikk | Registrerte tr\u00e6r i Kristiansand", "Sammendragsstatistikk | Registrerte 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Attributtskjema for treregistrering i QField appen": [[2, "id2"]], "Data (EN)": [[3, "data-en"]], "Data sources": [[3, "data-sources"]], "Output data products": [[3, "output-data-products"]], "Trekroner Dokumentasjon": [[4, "trekroner-dokumentasjon"]], "Innhold": [[4, "innhold"]], "Task 1 | Urban Tree Detection": [[5, "task-1-urban-tree-detection"]], "Installation": [[5, "installation"], [6, "installation"], [11, "installation"], [17, "installation"], [20, "installation"], [8, "installation"]], "View the installation manual and project structure for instructions.": [[5, null], [8, null]], "Data": [[5, "data"], [17, "data"], [19, "data"], [20, "data"], [8, "data"]], "Methods": [[5, "methods"], [17, "methods"], [19, "methods"], [20, "methods"], [8, "methods"]], "Installation Manual | urban-tree-detection": [[6, "installation-manual-urban-tree-detection"]], "Configuration": [[6, "configuration"], [11, "configuration"]], ".env": [[6, "env"]], "Project Structure | urban-tree-detection": [[7, "project-structure-urban-tree-detection"]], "Project folder structure": [[7, "project-folder-structure"], [14, "project-folder-structure"]], "Data folder structure": [[7, "data-folder-structure"], [14, "data-folder-structure"]], "Raw data folder structure": [[7, "raw-data-folder-structure"]], "B\u00e6rum | tree inventory data": [[9, "baerum-tree-inventory-data"]], "Table 1. B\u00e6rum municipality tree inventory data.": [[9, "id1"]], "Bod\u00f8 | tree inventory data": [[10, "bodo-tree-inventory-data"]], "Installation Manual | itree-support-tools": [[11, "installation-manual-itree-support-tools"]], "Kristiansand | tree inventory data": [[12, "kristiansand-tree-inventory-data"]], "Oslo | tree inventory data": [[13, "oslo-tree-inventory-data"]], "Project Structure | itree-support-tools": [[14, "project-structure-itree-support-tools"]], "Task 3 | i-Tree Eco Modelling": [[16, "task-3-i-tree-eco-modelling"]], "Contents": [[16, "contents"], [24, "contents"]], "Task 3b | Extrapolation of i-Tree Eco values": [[17, "task-3b-extrapolation-of-i-tree-eco-values"]], "Data Preparation": [[17, "data-preparation"], [19, "data-preparation"]], "Regression modelling: Random Forest versus Linear Regression": [[17, "regression-modelling-random-forest-versus-linear-regression"]], "Model Performance": [[17, "model-performance"]], "Calculation of monetary values": [[17, "calculation-of-monetary-values"]], "References": [[17, "references"], [19, "references"], [20, "references"]], "Contributors": [[17, "contributors"], [19, "contributors"], [20, "contributors"]], "Task 3a | i-Tree Eco model": [[18, "task-3a-i-tree-eco-model"]], "Task 4 | Local Climate Regulation": [[19, "task-4-local-climate-regulation"]], "Getting Started": [[19, "getting-started"]], "Data Analysis": [[19, "data-analysis"]], "Note": [[19, null]], "Task 5 | Mapping of trees visibility and accessibiltiy": [[20, "task-5-mapping-of-trees-visibility-and-accessibiltiy"]], "Viewshed exposure modelling": [[20, "viewshed-exposure-modelling"]], "Visual Impact Modelling": [[20, "visual-impact-modelling"]], "Calculating measures for the 3-30-300 rule": [[20, "calculating-measures-for-the-3-30-300-rule"]], "Installation Manual | GRASS GIS Addons r.viewshed.exposure and r.viewshed.impact": [[21, "installation-manual-grass-gis-addons-r-viewshed-exposure-and-r-viewshed-impact"]], "Computer specifications": [[21, "computer-specifications"]], "Install GRASS GIS with Docker": [[21, "install-grass-gis-with-docker"]], "Install GRASS GIS Addons": [[21, "install-grass-gis-addons"]], "Using GRASS GUI": [[21, "using-grass-gui"], [21, "id1"]], "Using GRASS CLI": [[21, "using-grass-cli"], [21, "id2"]], "Install GRASS GIS Addons as a local module": [[21, "install-grass-gis-addons-as-a-local-module"]], "GRASS GIS Tasks used in this project": [[21, "grass-gis-tasks-used-in-this-project"]], "Parameters - Viewshed exposure and impact": [[22, "parameters-viewshed-exposure-and-impact"]], "Table 1. Settings for r.viewshed.exposure, default values are used for the other parameters.": [[22, "id1"]], "Table 2. Settings for r.viewshed.impact, default values are used for the other parameters. Note that r.viewshed.impact is ran 3 times. Round 1: open space as weight layer, Round 2: open public space as weight layer and, Round 3: open private space as weight layer.": [[22, "id2"]], "Look Up Tables - Green spaces and private and public open spaces": [[23, "look-up-tables-green-spaces-and-private-and-public-open-spaces"]], "Table 1. List of building types that are classified as residential buildings (boligbebyggelse) within this project. See the SOSI codelist for the complete list of building types used in the FKB-Bygning dataset.": [[23, "id2"]], "Table 2. AR5 land use classes classified into green space (ja) or no green space (no). In addition, land use classes are classified into private (privat) and public (offentlig). See the SOSI codelist for the land use classification of the FKB-AR5 dataset.": [[23, "id3"]], "Table 3. SSB land use classes classified into green space (ja) or no green space (nei). In addition, land use classes are classified into private (privat) and public (offentlig). See the SSB codelist for the land use classification of the SSB-arealbruk-2022 dataset.": [[23, "id4"]], "Metoder (EN)": [[24, "metoder-en"]], "Summary": [[24, "summary"]], "A Semi-Automatic Workflow for Data Processing": [[24, "a-semi-automatic-workflow-for-data-processing"]], "Table 1. Tasks and GitHub repositories.": [[24, "id3"]], "Installation Manuals": [[25, "installation-manuals"]], "Sphinx Developer Information": [[26, "sphinx-developer-information"]], "Project Structure": [[26, "project-structure"]], "R Markdown HTML files": [[26, "r-markdown-html-files"]], "Extract historical climate data from the Norwegian Meteorological Institute (MET)": [[27, "Extract-historical-climate-data-from-the-Norwegian-Meteorological-Institute-(MET)"]], "Stations Request": [[27, "Stations-Request"]], "Observations Request": [[27, "Observations-Request"]], "Oslo and B\u00e6rums Hottest Summer on Record": [[27, "Oslo-and-B\u00e6rums-Hottest-Summer-on-Record"]], "Kristiansand Hottest summer on record": [[27, "Kristiansand-Hottest-summer-on-record"]], "Bod\u00f8 Hottest summer on record": [[27, "Bod\u00f8-Hottest-summer-on-record"]], "Caclulate tree visibility statistics per district": [[28, "Caclulate-tree-visibility-statistics-per-district"]], "Data conversion | GeoJSON to GeoParquet": [[28, "Data-conversion-|-GeoJSON-to-GeoParquet"]], "Database Connection | DuckDB": [[28, "Database-Connection-|-DuckDB"]], "Generate Columns with Count Statistics": [[28, "Generate-Columns-with-Count-Statistics"]], "Generate Columns with Area Statistics": [[28, "Generate-Columns-with-Area-Statistics"]], "Map tree visibility statistics per district": [[29, "Map-tree-visibility-statistics-per-district"]], "Map the indicators for the 3-30-300-rule": [[29, "Map-the-indicators-for-the-3-30-300-rule"]], "Sammendragsstatistikk | Registrerte tr\u00e6r i B\u00e6rum": [[32, "sammendragsstatistikk-registrerte-traer-i-baerum"]], "Treslagsfordeling i B\u00e6rum": [[32, "treslagsfordeling-i-baerum"]], "Tre egenskaper": [[32, "tre-egenskaper"], [33, "tre-egenskaper"], [35, "tre-egenskaper"], [36, "tre-egenskaper"]], "Sammendragsstatistikk | Registrerte tr\u00e6r i Bod\u00f8": [[33, "sammendragsstatistikk-registrerte-traer-i-bodo"]], "Treslagsfordeling i Bod\u00f8": [[33, "treslagsfordeling-i-bodo"]], "Regulerende \u00f8kosystemtjenester": [[33, "regulerende-okosystemtjenester"], [35, "regulerende-okosystemtjenester"], [36, "regulerende-okosystemtjenester"]], "Sammendragsstatistikk (NO)": [[34, "sammendragsstatistikk-no"]], "Sammendragsstatistikk | Registrerte tr\u00e6r i Kristiansand": [[35, "sammendragsstatistikk-registrerte-traer-i-kristiansand"]], "Treslagsfordeling i Kristiansand": [[35, "treslagsfordeling-i-kristiansand"]], "Sammendragsstatistikk | Registrerte tr\u00e6r i Oslo": [[36, "sammendragsstatistikk-registrerte-traer-i-oslo"]], "Treslagsfordeling i Oslo": [[36, "treslagsfordeling-i-oslo"]], "Notebooks": [[30, "notebooks"]], "Tables": [[31, "tables"]], "Task 2 | Integration of Municipal Tree points and Laser-detected Tree Crown polygons": [[8, "task-2-integration-of-municipal-tree-points-and-laser-detected-tree-crown-polygons"]], "Municipal Tree Inventory": [[8, "municipal-tree-inventory"]], "Specific manual cleaning tasks for each municipality are described in the following documents:": [[8, null]], "Look Up Tables - i-Tree Eco Land Use": [[15, "look-up-tables-i-tree-eco-land-use"]], "Table 1: i-Tree Eco Land Use Classes": [[15, "id1"]], "Table 2: SSB land use classes translated to the i-Tree Eco Land Use classes. See the SSB codelist for the land use classification of the SSB-arealbruk-2022 dataset.": [[15, "id2"]], "Table 3: AR5 land use classes translated to the i-Tree Eco Land Use classes. 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Kunnskaps- og opplevelsestjenester": [[0, "kunnskaps-og-opplevelsestjenester"]], "Rekreasjon, mental og fysisk helse": [[0, "rekreasjon-mental-og-fysisk-helse"]], "Estetikk": [[0, "estetikk"]], "Turisme": [[0, "turisme"]], "Utdanning og kognitiv utvikling": [[0, "utdanning-og-kognitiv-utvikling"]], "Stedsidentitet og kulturarv": [[0, "stedsidentitet-og-kulturarv"]], "4. St\u00f8ttende tjenester": [[0, "stottende-tjenester"]], "Habitat for truede arter": [[0, "habitat-for-truede-arter"]], "Biologisk mangfold": [[0, "biologisk-mangfold"]], "Instruks | Bytre-atlas (NO)": [[1, "instruks-bytre-atlas-no"]], "Innsynskart": [[1, "innsynskart"]], "Registrerte tr\u00e6r": [[1, "registrerte-traer"]], "Bytre-atlaser": [[1, "bytre-atlaser"]], "QField Tree Registration App (NO)": [[2, "qfield-tree-registration-app-no"]], "Tabell 1. Attributtskjema for treregistrering i QField appen": [[2, "id2"]], "Data (EN)": [[3, "data-en"]], "Data sources": [[3, "data-sources"]], "Output data products": [[3, "output-data-products"]], "Trekroner Dokumentasjon": [[4, "trekroner-dokumentasjon"]], "Innhold": [[4, "innhold"]], "Task 1 | Urban Tree Detection": [[5, "task-1-urban-tree-detection"]], "Installation": [[5, "installation"], [6, "installation"], [11, "installation"], [17, "installation"], [20, "installation"], [8, "installation"]], "View the installation manual and project structure for instructions.": [[5, null], [8, null]], "Data": [[5, "data"], [17, "data"], [19, "data"], [20, "data"], [8, "data"]], "Methods": [[5, "methods"], [17, "methods"], [19, "methods"], [20, "methods"], [8, "methods"]], "Installation Manual | urban-tree-detection": [[6, "installation-manual-urban-tree-detection"]], "Configuration": [[6, "configuration"], [11, "configuration"]], ".env": [[6, "env"]], "Project Structure | urban-tree-detection": [[7, "project-structure-urban-tree-detection"]], "Project folder structure": [[7, "project-folder-structure"], [14, "project-folder-structure"]], "Data folder structure": [[7, "data-folder-structure"], [14, "data-folder-structure"]], "Raw data folder structure": [[7, "raw-data-folder-structure"]], "B\u00e6rum | tree inventory data": [[9, "baerum-tree-inventory-data"]], "Table 1. B\u00e6rum municipality tree inventory data.": [[9, "id1"]], "Bod\u00f8 | tree inventory data": [[10, "bodo-tree-inventory-data"]], "Installation Manual | itree-support-tools": [[11, "installation-manual-itree-support-tools"]], "Kristiansand | tree inventory data": [[12, "kristiansand-tree-inventory-data"]], "Oslo | tree inventory data": [[13, "oslo-tree-inventory-data"]], "Project Structure | itree-support-tools": [[14, "project-structure-itree-support-tools"]], "Task 3 | i-Tree Eco Modelling": [[16, "task-3-i-tree-eco-modelling"]], "Contents": [[16, "contents"], [24, "contents"]], "Task 3b | Extrapolation of i-Tree Eco values": [[17, "task-3b-extrapolation-of-i-tree-eco-values"]], "Data Preparation": [[17, "data-preparation"], [19, "data-preparation"]], "Regression modelling: Random Forest versus Linear Regression": [[17, "regression-modelling-random-forest-versus-linear-regression"]], "Model Performance": [[17, "model-performance"]], "Calculation of monetary values": [[17, "calculation-of-monetary-values"]], "References": [[17, "references"], [19, "references"], [20, "references"]], "Contributors": [[17, "contributors"], [19, "contributors"], [20, "contributors"]], "Task 3a | i-Tree Eco model": [[18, "task-3a-i-tree-eco-model"]], "Task 4 | Local Climate Regulation": [[19, "task-4-local-climate-regulation"]], "Getting Started": [[19, "getting-started"]], "Data Analysis": [[19, "data-analysis"]], "Note": [[19, null]], "Task 5 | Mapping of trees visibility and accessibiltiy": [[20, "task-5-mapping-of-trees-visibility-and-accessibiltiy"]], "Viewshed exposure modelling": [[20, "viewshed-exposure-modelling"]], "Visual Impact Modelling": [[20, "visual-impact-modelling"]], "Calculating measures for the 3-30-300 rule": [[20, "calculating-measures-for-the-3-30-300-rule"]], "Installation Manual | GRASS GIS Addons r.viewshed.exposure and r.viewshed.impact": [[21, "installation-manual-grass-gis-addons-r-viewshed-exposure-and-r-viewshed-impact"]], "Computer specifications": [[21, "computer-specifications"]], "Install GRASS GIS with Docker": [[21, "install-grass-gis-with-docker"]], "Install GRASS GIS Addons": [[21, "install-grass-gis-addons"]], "Using GRASS GUI": [[21, "using-grass-gui"], [21, "id1"]], "Using GRASS CLI": [[21, "using-grass-cli"], [21, "id2"]], "Install GRASS GIS Addons as a local module": [[21, "install-grass-gis-addons-as-a-local-module"]], "GRASS GIS Tasks used in this project": [[21, "grass-gis-tasks-used-in-this-project"]], "Parameters - Viewshed exposure and impact": [[22, "parameters-viewshed-exposure-and-impact"]], "Table 1. Settings for r.viewshed.exposure, default values are used for the other parameters.": [[22, "id1"]], "Table 2. Settings for r.viewshed.impact, default values are used for the other parameters. Note that r.viewshed.impact is ran 3 times. Round 1: open space as weight layer, Round 2: open public space as weight layer and, Round 3: open private space as weight layer.": [[22, "id2"]], "Look Up Tables - Green spaces and private and public open spaces": [[23, "look-up-tables-green-spaces-and-private-and-public-open-spaces"]], "Table 1. List of building types that are classified as residential buildings (boligbebyggelse) within this project. See the SOSI codelist for the complete list of building types used in the FKB-Bygning dataset.": [[23, "id2"]], "Table 2. AR5 land use classes classified into green space (ja) or no green space (no). In addition, land use classes are classified into private (privat) and public (offentlig). See the SOSI codelist for the land use classification of the FKB-AR5 dataset.": [[23, "id3"]], "Table 3. SSB land use classes classified into green space (ja) or no green space (nei). In addition, land use classes are classified into private (privat) and public (offentlig). See the SSB codelist for the land use classification of the SSB-arealbruk-2022 dataset.": [[23, "id4"]], "Metoder (EN)": [[24, "metoder-en"]], "Summary": [[24, "summary"]], "A Semi-Automatic Workflow for Data Processing": [[24, "a-semi-automatic-workflow-for-data-processing"]], "Table 1. Tasks and GitHub repositories.": [[24, "id3"]], "Installation Manuals": [[25, "installation-manuals"]], "Sphinx Developer Information": [[26, "sphinx-developer-information"]], "Project Structure": [[26, "project-structure"]], "R Markdown HTML files": [[26, "r-markdown-html-files"]], "Extract historical climate data from the Norwegian Meteorological Institute (MET)": [[27, "Extract-historical-climate-data-from-the-Norwegian-Meteorological-Institute-(MET)"]], "Stations Request": [[27, "Stations-Request"]], "Observations Request": [[27, "Observations-Request"]], "Oslo and B\u00e6rums Hottest Summer on Record": [[27, "Oslo-and-B\u00e6rums-Hottest-Summer-on-Record"]], "Kristiansand Hottest summer on record": [[27, "Kristiansand-Hottest-summer-on-record"]], "Bod\u00f8 Hottest summer on record": [[27, "Bod\u00f8-Hottest-summer-on-record"]], "Caclulate tree visibility statistics per district": [[28, "Caclulate-tree-visibility-statistics-per-district"]], "Data conversion | GeoJSON to GeoParquet": [[28, "Data-conversion-|-GeoJSON-to-GeoParquet"]], "Database Connection | DuckDB": [[28, "Database-Connection-|-DuckDB"]], "Generate Columns with Count Statistics": [[28, "Generate-Columns-with-Count-Statistics"]], "Generate Columns with Area Statistics": [[28, "Generate-Columns-with-Area-Statistics"]], "Map tree visibility statistics per district": [[29, "Map-tree-visibility-statistics-per-district"]], "Map the indicators for the 3-30-300-rule": [[29, "Map-the-indicators-for-the-3-30-300-rule"]], "Sammendragsstatistikk | Registrerte tr\u00e6r i B\u00e6rum": [[32, "sammendragsstatistikk-registrerte-traer-i-baerum"]], "Treslagsfordeling i B\u00e6rum": [[32, "treslagsfordeling-i-baerum"]], "Tre egenskaper": [[32, "tre-egenskaper"], [33, "tre-egenskaper"], [35, "tre-egenskaper"], [36, "tre-egenskaper"]], "Sammendragsstatistikk | Registrerte tr\u00e6r i Bod\u00f8": [[33, "sammendragsstatistikk-registrerte-traer-i-bodo"]], "Treslagsfordeling i Bod\u00f8": [[33, "treslagsfordeling-i-bodo"]], "Regulerende \u00f8kosystemtjenester": [[33, "regulerende-okosystemtjenester"], [35, "regulerende-okosystemtjenester"], [36, "regulerende-okosystemtjenester"]], "Sammendragsstatistikk (NO)": [[34, "sammendragsstatistikk-no"]], "Sammendragsstatistikk | Registrerte tr\u00e6r i Kristiansand": [[35, "sammendragsstatistikk-registrerte-traer-i-kristiansand"]], "Treslagsfordeling i Kristiansand": [[35, "treslagsfordeling-i-kristiansand"]], "Sammendragsstatistikk | Registrerte tr\u00e6r i Oslo": [[36, "sammendragsstatistikk-registrerte-traer-i-oslo"]], "Treslagsfordeling i Oslo": [[36, "treslagsfordeling-i-oslo"]], "Notebooks": [[30, "notebooks"]], "Tables": [[31, "tables"]], "Look Up Tables - i-Tree Eco Land Use": [[15, "look-up-tables-i-tree-eco-land-use"]], "Table 1: i-Tree Eco Land Use Classes": [[15, "id1"]], "Table 2: SSB land use classes translated to the i-Tree Eco Land Use classes. See the SSB codelist for the land use classification of the SSB-arealbruk-2022 dataset.": [[15, "id2"]], "Table 3: AR5 land use classes translated to the i-Tree Eco Land Use classes. See the SOSI codelist for the land use classification of the FKB-AR5 dataset.": [[15, "id3"]], "Task 2 | Integration of Municipal Tree points and Laser-detected Tree Crown polygons": [[8, "task-2-integration-of-municipal-tree-points-and-laser-detected-tree-crown-polygons"]], "Land use": [[8, "land-use"]], "Municipal Tree Database": [[8, "municipal-tree-database"]], "Specific manual cleaning tasks for each municipality are described in the following documents:": [[8, null]], "Output": [[8, "output"]], "Table 1: Field design of the cleaned municipal tree inventory dataset.": [[8, "id1"]]}, "indexentries": {}}) \ No newline at end of file diff --git a/docs/source/methods/02_support_tools/README.rst b/docs/source/methods/02_support_tools/README.rst index fc50393..d307027 100644 --- a/docs/source/methods/02_support_tools/README.rst +++ b/docs/source/methods/02_support_tools/README.rst @@ -27,14 +27,21 @@ Data The following data sources were used within this project task. -**Land use** +Land use +~~~~~~~~~~~~~~~~~~~~~~~~ In i-Tree Eco Land Use (LU) is defined as the land use type in which a tree is located. In i-Tree Eco, there are 13 default land use classes defined (see `Table 1 `_). The land resource map FKB-AR5 (Ahlstrøm et al. 2019, Kartverket, 2023b) and the land use map from SSB (2022) are combined, and the different land use classes are translated to the Land Use classes defined in i-Tree Eco using the lookup tables: `Table 2 `_ and `Table 3 `_. -Municipal Tree Inventory +Municipal Tree Database ~~~~~~~~~~~~~~~~~~~~~~~~ + +The municipalities within the Trekroner-project each provided a tree inventory database. +The tree inventory databases contain information about the trees in the municipality, +such as tree species, tree height, tree diameter, and tree location. +The tree inventory databases were cleaned and standardized to ensure that the data could be used in the i-Tree Eco analysis. + .. toctree:: :maxdepth: 1 :caption: Specific manual cleaning tasks for each municipality are described in the following documents: @@ -46,6 +53,7 @@ Municipal Tree Inventory + Methods ------- @@ -119,13 +127,25 @@ The workflow consists of three main steps: - Make a backup of the input data before running the scripts. - Note that calculating the crown condition attributes is extremely slow (e.g., it can take more than 12 hours to run). +Output +------- + +The output is a cleaned municipal tree dataset that contains the mandatory input attributes for the i-Tree Eco model. + +.. xlsx-table:: **Table 1:** Field design of the cleaned municipal tree inventory dataset. + :file: tbl/field_design_registrerte_traer.xlsx + :header-rows: 1 + :sheet: field_design + **References** +- Ahlstrøm, A., Bjørkelo, K., Fadnes, K.D. 2019. AR5 Klassifikasjonssystem. Klassifisering av arealressurser. NIBIO BOK 5 (5) 2019. http://hdl.handle.net/11250/2596511 - Cimburova, Z., & Barton, D. N. (2020). The potential of geospatial analysis and Bayesian networks to enable i-Tree Eco assessment of existing tree inventories. Urban Forestry & Urban Greening, 55, 126801. https://doi.org/10.1016/j.ufug.2020.126801 +- Kartverket 2023a. FKB-Bygninger. Geografisk vektordatasett. https://kartkatalog.Geonorge.no/metadata/fkb-bygning/8b4304ea-4fb0-479c-a24d-fa225e2c6e97 +- Kartverket 2023b FKB-AR5. Geografisk vektordatasett. https://kartkatalog.geonorge.no/metadata/fkb-ar5/166382b4-82d6-4ea9-a68e-6fd0c87bf788 +- Statistisk sentralbyrå (SSB) 2022: Arealbruk 2022. Geografisk vektordatasett. https://kartkatalog.Geonorge.no/metadata/arealbruk-2022/a965a979-c12a-4b26-90a0-f09de47dbecd **Contributors** - Willeke A'Campo (NINA), willeke.acampo@nina.no - - diff --git a/docs/source/methods/02_support_tools/tbl/field_design_registrerte_traer.xlsx b/docs/source/methods/02_support_tools/tbl/field_design_registrerte_traer.xlsx new file mode 100644 index 0000000..6200d25 Binary files /dev/null and b/docs/source/methods/02_support_tools/tbl/field_design_registrerte_traer.xlsx differ